Multi-Sentence Complementarily Generation for Text-to-Image Synthesis
Author:
Affiliation:
1. School of Software Technology, Dalian University of Technology, China
2. School of Reliability and Systems Engineering, Beihang University, Beijing, China
3. School of Mechanical Engineering, Zhejiang University, Hangzhou, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/4456689/10190148.pdf?arnumber=10190148
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. M-GAN: multiattribute learning and multimodal feature fusion-based generative adversarial network for text-to-image synthesis;The Visual Computer;2024-08-05
2. Unified Open-Vocabulary Dense Visual Prediction;IEEE Transactions on Multimedia;2024
3. DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis;IEEE Transactions on Multimedia;2024
4. Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding;IEEE Transactions on Multimedia;2024
5. SW-UNet: a U-Net fusing sliding window transformer block with CNN for segmentation of lung nodules;Frontiers in Medicine;2023-09-28
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